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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Correlated activity supports efficient cortical processing
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2015
|
| DOI | 10.3389/fncom.2014.00171 |
| Pubmed ID | |
| Authors |
Chou P. Hung, Ding Cui, Yueh-peng Chen, Chia-pei Lin, Matthew R. Levine |
| Abstract |
Visual recognition is a computational challenge that is thought to occur via efficient coding. An important concept is sparseness, a measure of coding efficiency. The prevailing view is that sparseness supports efficiency by minimizing redundancy and correlations in spiking populations. Yet, we recently reported that "choristers", neurons that behave more similarly (have correlated stimulus preferences and spontaneous coincident spiking), carry more generalizable object information than uncorrelated neurons ("soloists") in macaque inferior temporal (IT) cortex. The rarity of choristers (as low as 6% of IT neurons) indicates that they were likely missed in previous studies. Here, we report that correlation strength is distinct from sparseness (choristers are not simply broadly tuned neurons), that choristers are located in non-granular output layers, and that correlated activity predicts human visual search efficiency. These counterintuitive results suggest that a redundant correlational structure supports efficient processing and behavior. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| India | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 48 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 33% |
| Researcher | 14 | 27% |
| Professor > Associate Professor | 5 | 10% |
| Student > Postgraduate | 4 | 8% |
| Unspecified | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 29% |
| Neuroscience | 12 | 24% |
| Psychology | 5 | 10% |
| Computer Science | 4 | 8% |
| Engineering | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 4 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2023.
All research outputs
#7,628,933
of 24,520,187 outputs
Outputs from Frontiers in Computational Neuroscience
#403
of 1,419 outputs
Outputs of similar age
#99,468
of 362,024 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#10
of 32 outputs
Altmetric has tracked 24,520,187 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,419 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 362,024 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.